Inspired by the author's need for practical guidance in theprocesses of data analysis, A Practical Guide to Scientific DataAnalysis has been written as a statistical companion for theworking scientist. This handbook of data analysis with workedexamples focuses on the application of mathematical and statisticaltechniques and the interpretation of their results.
Covering the most common statistical methods for examining andexploring relationships in data, the text includes extensiveexamples from a variety of scientific disciplines.
The chapters are organised logically, from planning anexperiment, through examining and displaying the data, toconstructing quantitative models. Each chapter is intended to standalone so that casual users can refer to the section that is mostappropriate to their problem.
Written by a highly qualified and internationally respectedauthor this text:
* Presents statistics for the non-statistician
* Explains a variety of methods to extract information fromdata
* Describes the application of statistical methods to the designof "performance chemicals"
* Emphasises the application of statistical techniques and theinterpretation of their results
Of practical use to chemists, biochemists, pharmacists,biologists and researchers from many other scientific disciplinesin both industry and academia.